Mall Haul Videos: Self‐Presentational Motives and the Role of Self‐Monitoring
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Mall haul videos or vlogs are short videos in which young women not only present their fashion and beauty purchases but express their evaluations and opinions as well. The attitudes expressed could help the vlogger reap social rewards from a reference group or demonstrate the consistency between privately held attitudes and publicly expressed ones. In four studies, using the self‐monitoring construct to identify which function an attitude may serve for an individual, the self‐monitoring propensity of mall haul vloggers and the social‐adjustive and value‐expressive functions that posting and watching such vlogs fulfill for the individual was explored. In the first study, those who post and do not post mall haul vlogs were surveyed and results suggested that more high self‐monitors than low self‐monitors posted mall haul vlogs. In Study 2, a content analysis was conducted and revealed that low self‐monitors in comparison to high self‐monitors mentioned more brand names in their mall haul vlog. In Study 3, the valence of the product evaluations conveyed in mall haul vlogs by high and low self‐monitors was analyzed. High self‐monitors generated more positive messages than low self‐monitors. Finally in Study 4, the links between self‐monitoring on individuals’ willingness to watch rather than post mall haul vlogs were examined. High self‐monitors were more likely to watch a mall haul vlog when the retailer mentioned was perceived to possess high status (compared to medium or low status); while low self‐monitors were more likely to watch a mall haul vlog when the retailer mentioned was perceived to possess low status (compared to medium or high status). Across all four studies, results indicated that mall haul vlogs were fulfilling a social‐adjustive function for high self‐monitors whereas they were fulfilling a value‐expressive function for low self‐monitors. Implications for marketing are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it